Discover. Oncology最新文献

{"title":"Survival expectations in melanoma patients: a molecular prognostic model associated with aging.","authors":"Nenghua Zhang, Xinyi Qiu, Xingying Chen, Cheng Du, Jingyi Dong, Xiaohong Li, Bing Chen, Lin Zhang, Yuyan Zhang","doi":"10.1007/s12672-025-01971-z","DOIUrl":"10.1007/s12672-025-01971-z","url":null,"abstract":"<p><strong>Background: </strong>Aging and long non-coding RNAs (lncRNAs) are research hotspots in melanoma. However, no study has so far explored the relationship between melanoma prognosis and aging-related lncRNAs (ARLs).</p><p><strong>Methods: </strong>The Cancer Genome Atlas database, the GTEx database, and the HAGR database were used in this study in a combined manner. Univariate and multivariate cox regression analyses were used to screen out lncRNA signatures associated with overall survival (OS) in the primary dataset. The risk scoring model was analyzed by risk stratification and tested internally. The protein expression levels of possible target genes of ARLs were verified by immunohistochemistry analysis in HPA database. Finally, gene enrichment analysis was performed.</p><p><strong>Results: </strong>In the primary dataset, five OS-related lncRNA signatures (AC011481.1, USP30-AS1, EBLN3P, LINC01527, HLA-DQB1-AS1) were screened out. The survival curve showed that the high-risk group had a worse prognosis than the low-risk group. The immunohistochemical analysis revealed that reduced expression of Epidermal Growth Factor Receptor (EGFR), along with increased expression of Activating Transcription Factor 2 (ATF2) and DNA Polymerase Delta 1 (POLD1), was linked to a worse prognosis. Finally, enrichment analysis revealed that OS-related DELs were significantly enriched in the regulation of reactive oxygen metabolism, etc. The ARGs were significantly activated in the SKCM tissues. The regulation of aging in melanoma cells may be realized through ferroptosis, immunity, and autophagy and so on.</p><p><strong>Conclusion: </strong>The ARL signature obtained in this study had better prognostic ability than individual clinical features.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"253"},"PeriodicalIF":2.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11874052/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transformative insights in breast cancer: review of atomic force microscopy applications.","authors":"Jiamin Ma, Yuanyuan Zhai, Xiaoyi Ren, Huifang Wu, Mengjie Yang, Lijun Chai, Jianzhong Chen","doi":"10.1007/s12672-025-02003-6","DOIUrl":"10.1007/s12672-025-02003-6","url":null,"abstract":"<p><p>Breast cancer remains one of the foremost global health concerns, highlighting the urgent need for innovative diagnostic and therapeutic strategies. Traditional imaging techniques, such as mammography and ultrasound, play essential roles in clinical practice; however, they often fall short in detecting early-stage tumors and providing comprehensive insights into the mechanical properties of cancer cells. In this context, Atomic Force Microscopy (AFM) has emerged as a transformative tool in breast cancer research, owing to its high-resolution imaging capabilities and nanomechanical characterization. This review explores recent advancements in AFM technology as applied to breast cancer research, emphasizing key findings that include the differentiation of various stages of tumor progression through high-resolution imaging, precise characterization of mechanical properties, and the capability for single-cell analysis. These capabilities not only enhance our understanding of tumor heterogeneity but also reveal potential biomarkers for early detection and therapeutic targets. Furthermore, the review critically examines several challenges and limitations associated with the application of AFM in breast cancer research. Issues such as complexities in sample preparation, accessibility, and the cost of AFM technology are discussed. Despite these challenges, the potential of AFM to transform our understanding of breast cancer biology is significant. Looking ahead, continued advancements in AFM technology promise to deepen our insights into breast cancer biology and guide innovative therapeutic strategies aimed at improving patient outcomes.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"256"},"PeriodicalIF":2.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11871204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The research progress on meningeal metastasis in solid tumors.","authors":"Yi Yue, Yuqing Ren, Chunya Lu, Nan Jiang, Sihui Wang, Junkai Fu, Mengrui Kong, Guojun Zhang","doi":"10.1007/s12672-025-01950-4","DOIUrl":"10.1007/s12672-025-01950-4","url":null,"abstract":"<p><p>Meningeal metastasis (MM), particularly Leptomeningeal metastases (LM), represents the advanced stage of solid tumors and poses a significant threat to patients' lives. Moreover, it imposes a substantial burden on society. LM represents the ultimate and most fatal stage of solid tumors, inflicting devastating consequences on patients and imposing a substantial burden on society. The incidence of LM continues to rise annually, emphasizing the urgent need for early recognition and treatment initiation in individuals with LM to significantly extend overall patient survival. Despite rapid advancements in current LM detection and treatment methods, the diagnosis of LM remains constrained by several limitations such as low diagnostic efficiency, the therapeutic outcomes remain suboptimal. Furthermore, there is currently no universally recognized industry standard for LM treatment, further underscoring its status as an unresolved challenge in tumor management. Additionally, progress towards elucidating the mechanisms underlying MM has stagnated. Therefore, this review aims to comprehensively summarize recent research advances pertaining to MM in solid tumors by elucidating its underlying mechanisms, exploring diagnostic and prognostic biomarkers while addressing existing research challenges.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"254"},"PeriodicalIF":2.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11871263/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EMR-C is safe and efficient for rectal neuroendocrine tumor, and easily manageable for novice endoscopists of digestive endoscopy center.","authors":"Zefeng Zhang, Chao Liu","doi":"10.1007/s12672-025-01886-9","DOIUrl":"10.1007/s12672-025-01886-9","url":null,"abstract":"<p><strong>Objective: </strong>The objective of this study was to evaluate the effectiveness and safety of endoscopic mucosal resection assisted by a transparent cap (EMR-C) for rectal neuroendocrine tumor (R-NET) by novice endoscopists of digestive endoscopy center.</p><p><strong>Methods: </strong>R-NET patients consulted in department of digestive endoscopy center of Guangdong Provincial Peolple's Hospital from 2022 to 2023, were recruited in this study. Novice endoscopists who had no ESD experience before were randomly to accomplish the EMR-C operation. Each novice endoscopist separately completed at least 3 cases after simple training by teachers and the operation time was counted on average. Vertical and horizontal margins of the specimens were further analyzed to determine whether radical resection was successful or not. R-NET patients were followed up at 12 months after operation.</p><p><strong>Results: </strong>30 cases of R-NET patients (13 males and 17 females, (53.83 ± 13.31) y), originated from the deep or submucosal layers of the intestinal wall mucosa by ultrasound colonoscopy, were recruited in all of our study. 10 novice endoscopists (each for 3 cases) were arranged to complete EMR-C operations by 2 teachers. The average time was (8.87 ± 1.87) minutes and the sections were clean and no bleeding and further clipped by 2-4 metal clips. Pathological and immunohistochemical results were further made to confirm the diagnosis. The en bloc resection rate was 100.00% and the R0 rate was 83.33% (horizontal margins were 100.00% negative and the vertical margins were 83.33% negative). No recurrence was found during the followed up at 12 months after operation.</p><p><strong>Conclusions: </strong>EMR-C is safe and efficient for R-NET, and easily manageable for novice endoscopists of digestive endoscopy center.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"251"},"PeriodicalIF":2.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11871194/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IL-1β and associated molecules as prognostic biomarkers linked with immune cell infiltration in colorectal cancer: an integrated statistical and machine learning approach.","authors":"Karishma Sahoo, Vino Sundararajan","doi":"10.1007/s12672-025-01989-3","DOIUrl":"10.1007/s12672-025-01989-3","url":null,"abstract":"<p><strong>Purpose: </strong>Colorectal cancer (CRC) is the third most common cancer globally, necessitating novel biomarkers for early diagnosis and treatment. This study proposes an efficient pipeline leveraging an integrated bioinformatics and machine learning framework to enhance the identification of diagnostic and prognostic biomarkers for CRC.</p><p><strong>Methods: </strong>A selection of methylated differentially expressed genes (MeDEGs) and features (genes) was made using both statistical and Machine learning (ML) approaches from publically available datasets. These genes were subjected to STRING network construction and hub genes estimation, separately. Also, essential miRNAs (micro-RNAs) and TFs (Transcription factors) as regulatory elements were revealed and findings were validated through scRNA-seq analysis, promoter methylation, gene expression levels correlated with pathological stage, and interaction with tumor-infiltrating immune cells.</p><p><strong>Results: </strong>Through an integrated analysis pipeline, we identified 27 hub genes, among which CTNNB1, GSK3B, IL-1β, MYC, PXDN, TP53, EGFR, SRC, COL1A1, and TGBF1 showed better diagnostic behaviour. Machine learning approach includes the development of K-Nearest Neighbors (KNN), Artificial Neural Networks (ANN), and Random Forest (RF) models using TCGA datasets, achieving an accuracy range between 99 and 100%. The Area Under the Curve (AUC) value for each model is 1.00, signifying good classification performance. The high expression of some diagnostic genes was associated with poor prognosis, concluding IL-1β as both a prognostic and diagnostic biomarker. Additionally, the NF-κB and microRNAs (miR-548d-3p, miR-548-ac) and TFs (NFκB and STAT5A) play a major role in the comprehensive regulatory network for CRC. Furthermore, hub genes such as IL-1β, TGFB1, and COL1A1 were significantly correlated with immune infiltrates, suggesting their potential role in CRC progression.</p><p><strong>Conclusion: </strong>Overall, the elevated expression of IL-1β coupled with abnormal DNA methylation, and its consequent effect on the PI3K/Akt signaling pathway are relevant prognostic and therapeutic marker in CRC. Additional molecular candidates reveal insights into the epigenetic regulatory targets of CRC and their association with immune cell infiltration.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"252"},"PeriodicalIF":2.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11871282/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A 10-year bibliometric analysis in the field of osteosarcoma treatment from 2014 to 2023.","authors":"Yiguo Shen, Xiaobo Shao, Jiansong Chen, Xin Tang","doi":"10.1007/s12672-025-02007-2","DOIUrl":"10.1007/s12672-025-02007-2","url":null,"abstract":"<p><strong>Objective: </strong>This paper aims to explore the research hot spot and development trend in osteosarcoma treatment using a bibliometric method based upon Web of Science Core Collection (WoSCC) platform over the last decade.</p><p><strong>Methods: </strong>The literature related to osteosarcoma and cure which were published from January 2014 to December 2023 were retrieved from the database of WoSCC and made an overall analysis for the papers published including number of articles, distribution of countries and institutions, author information, and keywords, with the CiteSpace 6.2.R5.</p><p><strong>Results: </strong>A total of 3131 papers were retrieved, including 2601 articles and 530 reviews, and the number of papers published has been increasing year by year in the last decade. There were 415 countries and 10,719 research institutions participating into the study. China's output of literature was the highest relying on its 1490 papers published, followed by The United States (548 papers). Shanghai Jiaotong university had the largest number of papers published (121 papers) and Central South University ranked second (82 papers). A total of 16,816 authors participated in the study. The number of the paper published by Massimo Serra of the Rizzoli Orthopaedics Institute was the largest (27 papers), followed by Dominique Heymann of the University of Sheffield (20 papers). The visualization analysis of keywords by CiteSpace software showed that the drug resistance, drug delivery, tumor tissue engineering and gene expression have become hotspots in the field of osteosarcoma treatment. Drug resistance significantly limits the effectiveness of current cancer treatments. Drug delivery technology not only enhances the targeting and efficacy of drugs but also helps to overcome drug resistance. The stem cells, targeted therapy, and tumor microenvironment represent the new research trends. In particular, the tumor microenvironment plays a key role in tumor development, progression, and drug resistance, and it offers numerous potential therapeutic targets.</p><p><strong>Conclusion: </strong>Our investigation has identified key research foci and hotspots in osteosarcoma treatment, including drug resistance mechanisms, innovations in drug delivery technology, stem cell development, tumor microenvironment analysis, the development of novel therapies, and the clinical translation of tumor tissue engineering.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"255"},"PeriodicalIF":2.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11871176/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"TRIM44 facilitates aggressive behaviors in multiple myeloma through promoting ZEB1 deubiquitination.","authors":"Hui Qi, Jing Wang, Lixia Cao","doi":"10.1007/s12672-025-01933-5","DOIUrl":"10.1007/s12672-025-01933-5","url":null,"abstract":"<p><strong>Background: </strong>Tripartite motif-containing 44 (TRIM44) involves in various tumor development. This study investigated role of TRIM44 in multiple myeloma (MM).</p><p><strong>Materials and methods: </strong>TRIM44 levels in bone marrow tissues and MM cell lines was detected by quantitative reverse transcription PCR (RT-qPCR). Cell viability, migration, and invasion of MM cells were evaluated under the interference of TRIM44 expression. The role of TRIM44 on regulating tumor growth in vivo was also investigated in subcutaneous tumor xenograft models. The protein interact between TRIM44 and Zinc Finger E-Box Binding Homeobox 1 (ZEB1) was also studied according IP followed by western blotting assay.</p><p><strong>Results: </strong>TRIM44 was all highly expressed in collected bone marrow tissues and MM cell lines. Cell viability, migration, and invasion of MM cells with low expression of TRIM44 was significantly inhibited. Over-expression of TRIM44 can down-regulate the ZEB1 ubiquitination to enhance the protein stability.</p><p><strong>Conclusions: </strong>TRIM44 exerts as an oncogenic factor to induce the oncogenesis of MM by stabilizing ZEB1.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"248"},"PeriodicalIF":2.8,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11867989/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143515039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CDKN2A, a key gene in copper-induced cell death model, influencing melanoma invasion and apoptosis.","authors":"Jing Li, Xi Yang, Cunli Yin, Siru Li, Yan Xu, Bin Liu","doi":"10.1007/s12672-025-01992-8","DOIUrl":"10.1007/s12672-025-01992-8","url":null,"abstract":"<p><p>Skin cutaneous melanoma (SKCM) is one of the most lethal cancers translating into 75% of skin cancer-related deaths. Despite the advances in SKCM management and treatment strategies, the overall survival of patients remains unsatisfactory due to the metastatic properties of SKCM as well as the absence of effective prognostic biomarkers. Recent studies have shown that overload copper renders accumulation of mitochondrial proteins and fuels a form of cell death at odds with known death mechanisms and is hinged on mitochondrial respiration, the so-called cuproptosis. However, the exact role of cuproptosis in SKCM development and progression is unknown, and painting a clear picture of its functions in SKCM is fraught with challenges. A more systematic investigation is justified. In this study, we were posed to dissect the clout and latent regulatory mechanisms of cuproptosis-related genes (CRGs) in reining in SKCM progression. Also, we identified three CRGs that stood out were used to construct a prognostic model, which could be employed to predict the prognosis of patients with SKCM. Finally, through pan-cancer analysis, we found that the four cuproptosis key genes play a role in multiple tumors, suggesting that cuproptosis may impact tumor progression at the pan-cancer level. Taken together, these findings may not only contribute to the development of treatment strategies but also provide clues for treatment decision-making.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"246"},"PeriodicalIF":2.8,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11867994/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143515036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EFNB1 drives glioma progression and shapes the immune microenvironment: a potential prognostic biomarker.","authors":"Yungui Zheng, Jiasong Shi","doi":"10.1007/s12672-025-01867-y","DOIUrl":"10.1007/s12672-025-01867-y","url":null,"abstract":"<p><p>Gliomas, a heterogeneous group of tumors affecting the brain and spinal cord, present a significant clinical challenge. Ephrin B1 (EFNB1) has been implicated in various malignancies. However, its role in gliomas remained poorly understood. Hence, this study aimed to elucidate the connection between EFNB1 and the progression of glioma. A retrospective RNA-seq analysis was conducted by utilizing the data from glioma patients in the TCGA and CGGA databases. Kaplan-Meier survival analysis and multivariate regression models were employed to evaluate the prognostic significance of EFNB1. RT-PCR was used to quantify EFNB1 expression in glioma tissues and cell lines. Meanwhile, in vitro assays were carried out to assess its functional roles in glioma cells. Our findings demonstrated that EFNB1 expression was significantly elevated in gliomas and other cancers. Moreover, high EFNB1 expression was closely correlated with advanced clinical stages and poor prognosis. Notably, multivariate analysis identified EFNB1 as an independent prognostic factor for overall survival. KEGG pathway analysis suggested that EFNB1 was involved in critical biological processes, including the cell cycle, protein processing in the endoplasmic reticulum, Epstein-Barr virus infection, and Salmonella infection. Furthermore, EFNB1 expression was associated with immune cell infiltration, particularly Th2 cells, macrophages, and plasmacytoid dendritic cells. In glioma cells, EFNB1 expression was markedly increased. Consequently, functional experiments demonstrated that EFNB1 knockdown inhibited glioma cell proliferation, invasion, and migration. These results highlighted EFNB1 as a novel independent prognostic biomarker and suggest its potential role in shaping the immunological microenvironment of gliomas.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"249"},"PeriodicalIF":2.8,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11868007/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143515037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of skeletal muscle quantity and quality with mortality in women with nonmetastatic breast cancer.","authors":"Mirele Savegnago Mialich, Bruna Ramos da Silva, Barbara Toledo Amstalden, Jorge Elias, Alceu Afonso Jordao","doi":"10.1007/s12672-025-01999-1","DOIUrl":"10.1007/s12672-025-01999-1","url":null,"abstract":"<p><p>Women with breast cancer are predisposed to muscle mass loss, to compromised muscle quality, and to decreased strength, and these abnormalities may serve as important predictors of adverse outcomes, including mortality. The aim of this study was to evaluate the possible associations between muscle mass markers, assessed by computed tomography with the phase angle (PhA) obtained by Bioelectrical impedance analysis (BIA), and health outcomes in women with breast cancer.</p><p><strong>Methods: </strong>retrospective study with 54 women newly diagnosed with breast cancer, aged ≥ 18 years and < 65 years; histologically confirmed diagnosis of early breast cancer (stage I-III range), and in the first chemotherapy-cycled treatment. Measurements performed: anthropometric assessments, BIA, third lumbar vertebra by computed tomography (CT) and physical function (handgrip strength, gait speed test 4 m, fatigue assessment), and blood biochemical analysis.</p><p><strong>Results: </strong>Lower skeletal muscle index were correlated with reduced PhA values (R² = 0.222, p = 0.0047), suggesting a worse prognosis. Logistic regression analysis showed that individuals with low muscle mass had a significantly lower likelihood of survival compared to those with normal muscle mass regardless of age and cancer stage.</p><p><strong>Conclusion: </strong>low muscle mass negatively affected patient survival and was associated with lower PhA values. Phase angle emerges as a promising marker of overall health and could be a valuable clinical tool in assessing prognosis.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"247"},"PeriodicalIF":2.8,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11867992/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143515035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}